clust Data/ -n 0 -m MapIDs.tsv
/===========================================================================\
|                                   Clust                                   |
|    (Optimised consensus clustering of multiple heterogenous datasets)     |
|           Python package version 1.12.0 (2019) Basel Abu-Jamous           |
+---------------------------------------------------------------------------+
| Analysis started at: Monday 14 September 2020 (10:28:15)                  |
| 1. Reading dataset(s)                                                     |
| 2. Data pre-processing                                                    |
|  - Flat expression profiles filtered out (default in v1.7.0+).            |
|    To switch it off, use the --no-fil-flat option (not recommended).      |
|    Check https://github.com/BaselAbujamous/clust for details.             |
Traceback (most recent call last):
  File "c:\users\ramba_000\appdata\local\programs\python\python37\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "c:\users\ramba_000\appdata\local\programs\python\python37\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\ramba_000\AppData\Roaming\Python\Python37\Scripts\clust.exe\__main__.py", line 9, in <module>
  File "C:\Users\ramba_000\AppData\Roaming\Python\Python37\site-packages\clust\__main__.py", line 103, in main
    args.cs, args.np, args.optimisation, args.q3s, args.basemethods, args.deterministic)
  File "C:\Users\ramba_000\AppData\Roaming\Python\Python37\site-packages\clust\clustpipeline.py", line 112, in clustpipeline
    Xprocessed = op.processed_X(X_summarised_normalised, conditions, GDM, OGs, MapNew, MapSpecies)  # pandas DataFrames
  File "C:\Users\ramba_000\AppData\Roaming\Python\Python37\site-packages\clust\scripts\output.py", line 436, in processed_X
    res[l] = np.concatenate((resHeader[l], res[l]), axis=0)
  File "<__array_function__ internals>", line 6, in concatenate
MemoryError: Unable to allocate 5.36 GiB for an array with shape (16190, 14) and data type <U6346